✏️Transfer Reward Function (TRF) Example
An example of a payout table generated by the Transfer Reward Function.
Last updated
An example of a payout table generated by the Transfer Reward Function.
Last updated
This is a sample example of the TRF in action and how the rewards and expected outcomes change.
As an example Fluidity provides the following numbers for a $50M reward pool with 80,000 daily fluid transactions, an average gas fee of $3 and six tiers of rewards:
Note: the sending party receives 80% and the receiving party receives 20% of the rewards.
Probability (%) | Reward Received ($) |
---|---|
As can be seen in the example above, over half of all transactions receive 60 cents up to $1.70, one in every 650 transactions receives $180, and four times a year users can receive $1.8M!
If you pay a higher gas fee, you will have a higher expected outcome of winning a larger prize, although this caps at the APY %, so paying an extremely large gas fee does not guarantee a 100% win chance.
What if you were to use a chain that had low transaction fees?
Every event where you send a transaction and there is a difference between senders and receivers in the transaction run all counts in theory as a transaction fee. Let's use Solana as an example.
Setting similar parameters as the previous example with some modifications:
$50M in the reward pool
80K daily fluid TXs
Solana Gas Fee: $0.00025.\
Saber $1000 Swap
Solana Gas Fee: $0.00025 + 0.3% Saber fee = $3 fee.
Solanart $100 NFT Purchase
Solana Gas Fee: $0.00025 + 3% Solanart fee = $3 fee.
If you were to do a transaction on top of these protocols will get a similar transaction probability reward metric as above.
So in essence, by doing a Saber trade or purchasing an NFT on Solanart, a user has the same probability of being rewarded millions through Fluid Assets as they do on high gas chains.
42.66
0.62
15.69
1.69
2.39
11.06
0.15
176.89
3.23e-3
8181.33
1.41e-5
1,865,342.25